How do I set up the Zendesk connection to send data to Qlik Cloud Analytics?

Log in to Kondado and select Zendesk as your data source. You will need only your Zendesk account credentials to establish the initial connection. After authentication, choose which pipelines you want to replicate, such as Tickets and Ticket Metrics, and set Qlik Cloud Analytics as your destination.

What types of dashboards can I build with Zendesk data in Qlik Cloud Analytics?

You can build SLA monitoring dashboards, customer satisfaction analysis, support group performance tracking, and average resolution time reports. Using data from the Satisfaction Surveys and Ticket History pipelines, you can visualize support trends over time and identify patterns in service quality.

How frequently does Zendesk data update in Qlik Cloud Analytics?

The update frequency is configurable based on your operational requirements. You can set updates to run every 5 minutes, 15 minutes, hourly, or daily. Kondado automatically replicates data on your chosen schedule, keeping your dashboards current without manual intervention.

Which support KPIs can I track using Zendesk with Qlik Cloud Analytics?

You can monitor average response time, resolution time, customer satisfaction rates, ticket volume by channel, and SLA compliance. The Ticket Metrics and Satisfaction Surveys pipelines provide specific fields such as wait times and satisfaction scores for detailed analysis of your support efficiency.

Can I share Zendesk dashboards with my team in Qlik Cloud Analytics?

Yes, once your data is in Qlik Cloud Analytics, you can share dashboards and reports with marketing managers, sales leaders, and operations teams. The platform allows you to set viewing permissions so each team member accesses only the information relevant to their role.

Can I send Zendesk data to other tools besides Qlik Cloud Analytics?

Yes, Kondado allows you to send your Zendesk data to Power BI , Looker Studio , Google Sheets , BigQuery , or PostgreSQL . You can configure multiple destinations simultaneously to meet different analysis needs across your organization.

Do I need technical knowledge to integrate Zendesk with Qlik Cloud Analytics?

No, Kondado is designed for business users without programming knowledge. The intuitive interface guides you through connecting Zendesk and selecting your desired pipelines, allowing marketing managers and data analysts to configure replication in minutes.

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Visualize Zendesk Data in Qlik Cloud Analytics

To visualize Zendesk data in Qlik Cloud Analytics, use Kondado as the bridge between your support platform and visualization tool. Kondado provides a direct connection that replicates your customer service data from Zendesk to Qlik Cloud Analytics without requiring intermediate databases or complex technical setup. You choose how frequently your data updates: every 5 minutes, 15 minutes, hourly, or daily, ensuring your analytics stay current based on your operational needs.

With Kondado, support managers and business analysts transform ticket metrics, customer satisfaction scores, and team performance data into visual dashboards in Qlik Cloud Analytics to make fast, data-driven decisions.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

When combining Zendesk with Qlik Cloud Analytics through Kondado, you can explore pipelines such as Tickets, Ticket Metrics, and Satisfaction Surveys to build comprehensive analyses of your customer support operations. Sales leaders can track average resolution time by organization, while operations teams monitor SLA compliance and support quality through satisfaction scores, all within interactive visualizations that make it easy to identify bottlenecks and improvement opportunities.

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Zendesk data available in Qlik Cloud Analytics

available pipelines

235

extractable fields

Available integrations

Integration	Description
Closed and Deleted Tickets	Includes deleted tickets with fields like id, actor_id, and deleted_at, allowing analysis of previous status and ticket description.
Ticket Comments	Contains comments related to tickets, with fields like ticket_id, author_id, and created_at, along with the comment body.
Ticket Metrics Events	Records SLA metric events, including id, metric, and sla_target, allowing performance monitoring of tickets.
Groups	Lists groups with fields like id, name, and updated_at, along with information about the group's status and description.
Ticket History	Records ticket audits with fields like id, ticket_id, and created_at, along with metadata about the source and channel.
Jira Links	Information about links between tickets and Jira tasks, allowing integration and tracking of related tasks.
Tags	Contains information about tags associated with tickets, facilitating categorization and search of tickets by tag.
Ticket Metrics	Presents ticket performance metrics, including response time and resolution time, essential for efficiency analysis.
Organizations	Lists organizations with fields like id, name, and created_at, allowing management and categorization of tickets by organization.
Satisfaction Surveys (Scores)	Collects satisfaction survey results, including id, ticket_id, and score, essential for measuring customer satisfaction.
Tickets	Contains information about tickets, including id, status, and timestamps such as created_at and deleted_at.
Users	Stores data about users, including id, name, and contact information such as email and status.

Closed and Deleted Tickets

Includes deleted tickets with fields like id, actor_id, and deleted_at, allowing analysis of previous status and ticket description.

Ticket Comments

Contains comments related to tickets, with fields like ticket_id, author_id, and created_at, along with the comment body.

Ticket Metrics Events

Records SLA metric events, including id, metric, and sla_target, allowing performance monitoring of tickets.

Groups

Lists groups with fields like id, name, and updated_at, along with information about the group's status and description.

Ticket History

Records ticket audits with fields like id, ticket_id, and created_at, along with metadata about the source and channel.

Jira Links

Information about links between tickets and Jira tasks, allowing integration and tracking of related tasks.

How to create Zendesk dashboards in Qlik Cloud Analytics

Visualize your data automatically — no spreadsheet exports or custom scripts.

Connect Zendesk as data source

Log in to Kondado, select Zendesk as your data source, and authenticate with your Zendesk account credentials to initiate the connection.

Select Qlik Cloud Analytics destination

Choose Qlik Cloud Analytics as your destination tool and configure the access credentials where your support data will be sent.

Build dashboards and configure refresh

Define which pipelines you want to replicate, set your preferred update frequency, and start building your support analysis dashboards in Qlik Cloud Analytics.